• DocumentCode
    3377715
  • Title

    Data Gathering Algorithm Based Load Balance for Wireless Sensor Networks

  • Author

    Xin, Guan ; Guan, L.

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Heilongjiang Univ., Harbin
  • fYear
    2008
  • fDate
    3-7 Aug. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Wireless sensor networks are characterized by centralized data gathering, multi-hop communication and many to one traffic pattern. These three characteristics can lead to severe packet collision, network congestion and packet loss, and even result in hot-spots of energy consumption thus causing premature death of sensor nodes and entire network. The proposed load balance data gathering algorithm classifies sensor nodes into different levels according to their distance to base station. Multiple paths are established between sensor node and sink depending on the energy metric and communication cost. This algorithm uses sub-optimal paths occasionally besides the minimum energy path. In order to save energy, data aggregation scheme is adopted as well. Analysis and simulation results show that the proposed algorithm provides more uniform energy consumption among nodes and can prolong network lifetime.
  • Keywords
    data communication; energy consumption; resource allocation; telecommunication congestion control; telecommunication traffic; wireless sensor networks; data aggregation scheme; data gathering algorithm; energy consumption; load balance; multihop communication; network congestion; packet collision; packet loss; traffic pattern; wireless sensor networks; Algorithm design and analysis; Analytical models; Base stations; Costs; Energy consumption; Road accidents; Sensor phenomena and characterization; Spread spectrum communication; Telecommunication traffic; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications and Networks, 2008. ICCCN '08. Proceedings of 17th International Conference on
  • Conference_Location
    St. Thomas, US Virgin Islands
  • ISSN
    1095-2055
  • Print_ISBN
    978-1-4244-2389-7
  • Electronic_ISBN
    1095-2055
  • Type

    conf

  • DOI
    10.1109/ICCCN.2008.ECP.143
  • Filename
    4674303